Review of Different Face Detection and Recognition Methods

Authors(3) :-Kanika Bhatia, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal

Image processing methods play a vital role in different applications, face detection and reorganization is one of them. In recent technology, the popularity and demand of image processing are increasing due to its immense number of application in various fields. Most of these are related to biometric science like face recognition, fingerprint recognition, iris scan, and speech recognition. Among them, face detection is a very powerful tool for video surveillance, human computer interface, face recognition, and image database management. There are a different number of works on this subject. Face recognition is a rapidly evolving technology, which has been widely used in forensics such as criminal identification, secured access, and prison security. The human face is a dynamic object and has a high degree of variability in its appearance, which makes face detection a difficult problem in computer vision. A wide variety of techniques have been proposed, ranging from simple edge-based algorithms to composite high-level approaches utilizing advanced pattern recognition methods. Various researchers have been suggested different human face detection and reorganization method for various application decades. This review paper presents a comparative analysis of various face detection and reorganization methods.

Authors and Affiliations

Kanika Bhatia
M. Tech. Research Scholar, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Umesh Kumar Lilhore
Head PG, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Nitin Agrawal
Associate Professor, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India

Face Detection; Face Localization; Facial Feature Detection; Feature Based Approaches; Image-Based Approaches

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 595-600
Manuscript Number : CSEIT1725137
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Kanika Bhatia, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal, "Review of Different Face Detection and Recognition Methods", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.595-600, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725137

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